Tuning an SVM Model

The Support Vector Machine (SVM) algorithm has built-in mechanisms that automatically choose appropriate settings based on the data.

You may need to override the system-determined settings for some domains.

Settings pertain to regression, classification, and anomaly detection unless otherwise specified.

See Also:

DBMS_DATA_MINING —Algorithm Settings: Support Vector Machine for a listing and explanation of the available model settings.

Note:

The term hyperparameter is also interchangeably used for model setting.